Qwen-Image-Edit_ComfyUI Windows 11 Zero Config

af | jun 29, 2026

Qwen-Image-Edit_ComfyUI Windows 11 Zero Config

The most rapid route to a local installation of this model is through Docker.

Make sure to follow the instructions below.

The setup auto-downloads all needed files (several GBs).

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📎 HASH: c13f4cb1c8c9347b67e7b9dee7d896eb | Updated: 2026-06-28
  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The Qwen-Image-Edit_ComfyUI model leverages a state‑of‑the‑art diffusion framework to deliver precise image editing capabilities directly within the ComfyUI environment. It supports high‑resolution outputs and enables operations such as object removal, inpainting, and style transfer with minimal latency. A conditional guidance mechanism ensures semantic consistency across edited regions, preserving the original context while applying modifications. The architecture employs a dual‑encoder design that combines a vision encoder for detailed feature extraction and a text encoder for contextual understanding. Users can integrate the model into existing node‑based workflows without extensive retraining, making advanced editing accessible to both developers and artists. Below is a quick comparison of key performance metrics that highlight its efficiency and quality relative to similar tools.

Metric Value
Resolution 2048×2048
Inference Time ~120ms
PSNR 38.5 dB
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